A fluorescent optical platform sensor based on ratiometric carbon dots integrated with machine learning for the identification and detection of organic solvents.
- DOI
- 10.1016/j.aca.2026.346271
- Published
- 2026 Dec 1
- Container
- Analytica chimica acta
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aca.2026.346271,
title = {A fluorescent optical platform sensor based on ratiometric carbon dots integrated with machine learning for the identification and detection of organic solvents.},
author = {Gao Z and Gou L and Xiao B and Zhang H and Bai F and Jiang X and Ma F and Zhang D and Yang L and Che T and Ding L},
year = {2026},
journal = {Analytica chimica acta},
doi = {10.1016/j.aca.2026.346271},
url = {https://doi.org/10.1016/j.aca.2026.346271}
}RIS
TY - JOUR TI - A fluorescent optical platform sensor based on ratiometric carbon dots integrated with machine learning for the identification and detection of organic solvents. AU - Gao Z AU - Gou L AU - Xiao B AU - Zhang H AU - Bai F AU - Jiang X AU - Ma F AU - Zhang D AU - Yang L AU - Che T AU - Ding L PY - 2026 JO - Analytica chimica acta DO - 10.1016/j.aca.2026.346271 UR - https://doi.org/10.1016/j.aca.2026.346271 ER -
APA
Z, G., L, G., B, X., H, Z., F, B., X, J., F, M., D, Z., L, Y., T, C., & L, D. (2026). A fluorescent optical platform sensor based on ratiometric carbon dots integrated with machine learning for the identification and detection of organic solvents.. Analytica chimica acta. https://doi.org/10.1016/j.aca.2026.346271
Source records
- pubmed · retrieved 2026-11-10T09:56:44.102Z